Recombinant mouse PAQR3 is synthesized using heterologous expression systems. Key platforms include:
| Host System | Tag | Purity | Applications | Source |
|---|---|---|---|---|
| Tobacco (N. tabacum) | Strep Tag | >80% | Functional assays, ELISA | |
| E. coli | His Tag | >90% | Structural studies, AP | |
| Wheat Germ | GST Tag | >80% | WB, affinity purification |
Purification: Affinity chromatography (e.g., glutathione resin for GST tags) .
Storage: -80°C in Tris-HCl or glutathione buffer to prevent degradation .
Recombinant PAQR3 is pivotal in studying:
Scaffolds the ATG14L–Beclin1–VPS34 complex to enhance PI(3)P production during glucose starvation .
Phosphorylation at Thr32 by AMPK activates autophagosome formation .
Inhibits PI3K/AKT signaling, reducing proliferation in glioma and NSCLC cells .
Downregulation correlates with poor prognosis in cancer models .
Anchors Scap/SREBP complexes to the Golgi, promoting cholesterol biosynthesis .
Regulates hepatic PPARα ubiquitination to modulate lipid catabolism .
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Tag type is determined during production. To request a specific tag, please inform us, and we will prioritize its development.
PAQR3 functions as a spatial regulator of RAF1 kinase, sequestering it to the Golgi apparatus.
PAQR3 Function and Associated Studies:
Recombinant mouse PAQR3 is typically expressed as a 311 amino acid protein with various epitope tags for detection and purification. The full amino acid sequence of mouse PAQR3 (AA 1-311) is:
MHQKLLKSAH YIELGSYQYW PVLVPRGIRL YTYEQIPVSL KDNPYITDGY RAYLPSRLCI KSLFILSNET VNIWSHLLGF FLFFTLGIYD MTSVLPSASA SREDFVICSI CLFCFQVCML CSVGYHLFSC HRSEKTCRRW MALDYAGISI GILGCYVSGV FYAFYCNNYW RQVYLITVLA MILAVFFAQI HPSYLTQQWQ RLRPIIFCSV SGYGVIPTLH WVWLNGGVSA PIVQDFAPRV IVMYVIALLA FLFYISKVPE RYFPGQLNYL GSSHQIWHVL AVVMLYWWHQ STVYVMQYRH SKPCPDYVSH L
Structurally, PAQR3 belongs to the progestin and adipoQ receptor family, which shares homology with membrane-associated progesterone receptors and adiponectin receptors. The protein contains multiple transmembrane domains that anchor it to the Golgi apparatus membrane, with both N and C termini facing the cytoplasm.
Several expression systems have been validated for recombinant mouse PAQR3 production, each with distinct advantages:
For functional studies investigating protein-protein interactions or enzymatic activity, mammalian expression systems like HEK-293 cells are preferable as they maintain proper protein folding and post-translational modifications critical for PAQR3 function. The cell-free protein synthesis system offers advantages for rapid screening but may have limitations for certain functional assays due to potentially incomplete modifications.
Validation of recombinant PAQR3 should employ multiple complementary approaches:
SDS-PAGE/Western blotting: Using specific anti-PAQR3 antibodies or tag-specific antibodies (anti-His, anti-Strep) to confirm molecular weight and immunoreactivity.
Analytical SEC (HPLC): To assess protein homogeneity and quaternary structure.
Mass spectrometry: For definitive confirmation of protein identity and to identify any post-translational modifications.
Functional assays: Particularly those measuring PAQR3's ability to facilitate ATG14L-VPS34 complex formation in autophagy assays.
Most recombinant preparations achieve purity levels of 70-90% as determined by SDS-PAGE, Western Blot, and analytical SEC (HPLC) . For critical applications, researchers should consider additional purification steps if higher purity is required.
PAQR3 plays a pivotal role in autophagy initiation by facilitating the formation of the ATG14L-associated VPS34 complex . This function is particularly critical during metabolic stress conditions such as glucose starvation.
Methodological approach for studying PAQR3's role in autophagy:
Assess autophagosome formation: Monitor GFP-LC3 puncta formation in PAQR3 knockout or knockdown cells compared to control cells under basal and starvation conditions.
Analyze PI(3)P production: Examine the formation of GFP-DFCP1 and WIPI1 puncta, which are downstream effectors of PI(3)P generated by the VPS34 complex .
Examine complex formation: Use co-immunoprecipitation to assess the interaction between Beclin1, ATG14L, VPS34, and VPS15 in the presence or absence of PAQR3.
Functional rescue experiments: Re-express wild-type PAQR3 or phosphorylation mutants (particularly T32 mutants) in PAQR3-deficient cells to determine which domains are essential for autophagy regulation.
PAQR3 deficiency significantly impairs the formation of GFP-DFCP1-positive puncta and the punctiform distribution of WIPI1 during glucose starvation, indicating reduced class III PI3K activity . This demonstrates PAQR3's essential role in activating the class III PI3K complex during autophagy initiation.
AMPK phosphorylates PAQR3 at threonine 32 (T32) upon glucose starvation in an ATG14L-dependent manner . This phosphorylation event is crucial for activating the ATG14L-linked class III PI3K and initiating autophagy.
Experimental approach to study PAQR3 phosphorylation:
Phospho-specific antibodies: Develop and validate antibodies recognizing phosphorylated T32 in PAQR3.
Phosphorylation-deficient mutants: Create T32A mutants that cannot be phosphorylated and assess their ability to rescue autophagy defects in PAQR3-deficient cells.
AMPK inhibition/activation: Use compound C (AMPK inhibitor) or AICAR/metformin (AMPK activators) to modulate AMPK activity and assess effects on PAQR3 phosphorylation and function.
In vitro kinase assays: Perform in vitro kinase assays with purified AMPK and recombinant PAQR3 to confirm direct phosphorylation.
This AMPK-PAQR3-VPS34 signaling axis represents a critical mechanism for integrating nutrient sensing with autophagy regulation, highlighting the importance of PAQR3 as a molecular bridge between upstream kinase signaling and downstream autophagy machinery .
PAQR3 knockout mice exhibit several phenotypes related to autophagy deficiency, particularly neurological abnormalities:
Motor function deficits: PAQR3-deleted mice display:
Molecular alterations: In PAQR3 knockout mouse tissues:
Exercise-induced autophagy: PAQR3-deleted mice show deficiencies in exercise-induced autophagy, suggesting impaired stress-responsive autophagy activation .
These findings establish PAQR3 as an important regulator of autophagy in vivo, with potential implications for neurodegenerative disorders. Researchers should consider these phenotypes when designing studies using PAQR3 knockout models, particularly for investigations into neurological function.
PAQR3 functions as a dual modulator with opposite effects on different PI3K classes:
| PI3K Class | PAQR3's Effect | Mechanism | Biological Outcome |
|---|---|---|---|
| Class I PI3K | Negative regulator | Blocks interaction between p110α and p85 | Limits growth factor signaling and abnormal proliferation |
| Class III PI3K | Positive regulator | Facilitates formation of ATG14L-VPS34 complex | Promotes autophagosome formation and cellular homeostasis |
This dual regulatory role positions PAQR3 as a molecular switch that can balance cell growth and homeostasis . During nutrient-rich conditions, PAQR3 can limit excessive growth signaling through class I PI3K inhibition, while under stress conditions, it can promote survival through enhanced class III PI3K/autophagy activation.
Methodological approaches to study this dual regulation:
Phosphorylation-specific interactions: Investigate how AMPK-mediated phosphorylation of PAQR3 affects its interaction with class I versus class III PI3K components.
Domain mapping: Identify which domains of PAQR3 are responsible for interaction with different PI3K complexes.
Cellular localization: Determine if subcellular localization (Golgi versus other compartments) influences PAQR3's differential effects on PI3K classes.
This unique dual regulatory capacity makes PAQR3 an attractive therapeutic target for conditions involving dysregulated growth signaling and/or impaired autophagy.
Within the PAQR family, functional specialization exists:
PAQR2 (AdipoR2): Functions as a receptor for C1q/TNF-related protein 3 (CTRP3) in chondrogenic cells, promoting cell proliferation .
PAQR3: Specializes in autophagy regulation through interactions with the ATG14L-VPS34 complex .
PAQR1/3/4: Unlike PAQR2, inhibition of PAQR1, PAQR3, or PAQR4 does not suppress CTRP3-induced chondrogenic cell proliferation, indicating functional divergence within the family .
Expression patterns: PAQR family members show distinct tissue expression patterns. For example, AdipoR1 and AdipoR2 are expressed in mouse preimplantation embryos and decidual cells, with potential roles in embryonic development .
This functional diversity suggests that while sharing structural similarities, PAQR family members have evolved distinct signaling roles. Researchers should be cautious about assuming functional redundancy and should validate the specific roles of individual family members in their biological system of interest.
Investigating PAQR3's interactions with binding partners requires careful consideration of its transmembrane nature and Golgi localization:
Co-immunoprecipitation: When using this approach:
Employ gentle detergents (0.5-1% NP-40 or 0.5% Triton X-100) to solubilize PAQR3 without disrupting protein-protein interactions
Include phosphatase inhibitors to preserve phosphorylation-dependent interactions
Consider crosslinking approaches for transient interactions
Proximity labeling: BioID or APEX2 fusion to PAQR3 can identify proximal proteins in the native cellular environment, particularly valuable for membrane proteins.
FRET/BRET assays: For studying dynamic interactions in living cells.
Reconstitution systems: In vitro reconstitution with purified components can validate direct interactions and determine stoichiometry.
When studying the ATG14L-VPS34 complex specifically, researchers should assess both the formation of the complex (protein-protein interactions) and its lipid kinase activity (PI3P production) .
Different cell types exhibit varying levels of basal autophagy and AMPK activity, which can influence PAQR3 function:
Baseline characterization:
Determine endogenous PAQR3 expression levels
Assess basal and induced autophagy flux (LC3-I to LC3-II conversion)
Evaluate glucose sensitivity and AMPK activation capacity
Cell type-specific considerations:
Neuronal cells: Focus on behavioral phenotypes and neurodegeneration markers
Hepatocytes: Examine metabolic functions and lipid handling
Immune cells: Investigate inflammatory responses and pathogen clearance
Stress induction protocols:
Glucose starvation: 0-2.5 mM glucose media for 2-12 hours
AMPK activation: AICAR (1-2 mM) or glucose deprivation
mTOR inhibition: Rapamycin (100 nM) or Torin1 (250 nM)
The cell type selection should align with the specific PAQR3 function being investigated. For autophagy studies, cells with robust autophagy responses (e.g., hepatocytes, fibroblasts) may be preferable, while neuronal cells are better suited for studying PAQR3's role in neurodegeneration .
When investigating PAQR3 phosphorylation, several controls are essential:
Phosphorylation-deficient mutants:
T32A mutant: Cannot be phosphorylated by AMPK
Phosphomimetic T32D/E mutants: Mimic constitutive phosphorylation
AMPK manipulation controls:
AMPKα1/α2 siRNA or knockout: Genetic ablation of upstream kinase
Compound C treatment: Pharmacological AMPK inhibition
AMPK activator-resistant cells: Cells with AMPK mutation preventing activation
Specificity controls:
ATG14L knockdown: Verify ATG14L-dependency of phosphorylation
Other potential phosphorylation sites: Test additional S/T residues
Physiological relevance:
Glucose concentration gradient: Test phosphorylation across physiological glucose ranges
Kinetics: Time course of phosphorylation after glucose withdrawal
Reversibility: Recovery after glucose restoration
Proper controls ensure that observed phosphorylation events are specific, physiologically relevant, and mechanistically sound, enabling accurate interpretation of PAQR3's role in integrating AMPK signaling with autophagy initiation .
Given the behavioral abnormalities observed in PAQR3 knockout mice and the critical role of autophagy in neurodegeneration, PAQR3 represents a potential therapeutic target:
Target validation approaches:
Conditional PAQR3 knockout in specific brain regions
PAQR3 overexpression in neurodegenerative disease models
Assessment of PAQR3 levels in human neurodegenerative disease samples
Therapeutic strategies:
Small molecules targeting PAQR3-ATG14L interaction
Modulators of PAQR3 phosphorylation
Gene therapy approaches to restore PAQR3 function
Biomarker development:
Phospho-PAQR3 as a marker of autophagy competence
PAQR3 complex formation as an indicator of autophagy initiation capacity
PAQR3 knockout mice display motor and behavioral abnormalities reminiscent of neurodegenerative disorders, including limb clasping, reduced rotarod performance, abnormal gait, and decreased grip strength . These phenotypes suggest that PAQR3 modulators could potentially address similar symptoms in human neurodegenerative conditions.
Membrane proteins present unique experimental challenges:
Solubilization issues:
Detergent selection critical for maintaining native conformation
Membrane microdomain association may affect extraction efficiency
Potential loss of interacting partners during solubilization
Structural analysis limitations:
Difficult to crystallize compared to soluble proteins
Cryo-EM often requires special preparation techniques
Native environment crucial for physiological conformation
Functional reconstitution:
Liposome reconstitution may not recapitulate Golgi membrane environment
Orientation in artificial membranes must be verified
Cofactors and lipid composition may affect function
Localization specificity:
Golgi-specific targeting mechanisms poorly understood
Trafficking dynamics during stress conditions unclear
Potential relocalization under various cellular conditions
Researchers should consider alternative approaches such as native membrane patches, nanodiscs, or cell-free expression systems with microsomes to overcome these challenges when studying PAQR3's structure and interactions .
Several areas of PAQR3 biology contain apparent contradictions that require further investigation:
Resolving these contradictions will require careful experimental design, considering tissue context, stress conditions, and potential compensatory mechanisms among PAQR family members.
Multiple kinase inputs:
Is PAQR3 targeted by kinases other than AMPK?
Do different phosphorylation events create a regulatory code?
How do different phosphorylation events interact functionally?
Phosphatase regulation:
Which phosphatases dephosphorylate PAQR3?
What is the kinetics of phosphorylation/dephosphorylation?
How is phosphatase activity regulated under different stress conditions?
Structural consequences:
How does T32 phosphorylation alter PAQR3 conformation?
Does phosphorylation create or disrupt specific binding interfaces?
Are there allosteric effects on distant protein regions?
Understanding the complete phosphorylation landscape of PAQR3 will be essential for developing targeted interventions and understanding its integration into cellular signaling networks.